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Record W2119093178 · doi:10.1177/1368430211426163

Implicit and explicit emotional reactions to witnessing prejudice

2011· article· en· W2119093178 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGroup Processes & Intergroup Relations · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of British Columbia
FundersNational Institute of Mental HealthNational Heart, Lung, and Blood Institute
KeywordsPsychologyPrejudice (legal term)Social psychologyAffect (linguistics)DistressOpposition (politics)Developmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

The present study examined how individual differences in motivation to respond without prejudice predict self-reported negative affect and physiological responses to the prejudicial acts of others. One hundred and one White participants were paired with a Black "partner" and together they watched two White men on film having either a pro- or antidiversity discussion. The higher participants were on internal motivation to respond without prejudice, the greater their self-reported negative affect and the more they exhibited distress-related physiological responses during the antidiversity discussion. In contrast, during the prodiversity discussion participants lower in internal motivation to respond without prejudice showed greater physiological distress, but did not self-report more negative affect. These results suggest that only those who have internalized egalitarian goals exhibit the negative emotional responses likely to promote opposition to expressions of intergroup bias; those who lack these goals might instead react against efforts to promote diversity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.321
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it